Back to leaderboard

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

lfm2-24b-a2b

LM-STUDIO GGUF
Good

Mar 6, 2026 · Apple M4 Pro

Global Score
61 vs 78
Hardware Fit
69 vs 100
Quality Score
58 vs 68

Hardware

qwen3.5:4b lfm2-24b-a2b
MachineGigabyte Technology Co., Ltd. H170M-D3HMac mini
CPUIntel Core™ i5-6500Apple M4 Pro
Cores414
RAM16 GB64 GB
GPUGP104 [GeForce GTX 1070]Apple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.7.4
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3.5:4b lfm2-24b-a2b
Tokens/sec35.7105.9
First chunk438 ms252 ms
TTFT5.1 s252 ms
Load time40.1 sN/A
Memory usage5.5 GB0.1 GB
Memory %35%0%

HW Fit Score Breakdown

qwen3.5:4b

Speed
50/50
TTFT
11/20
Memory
8/30

lfm2-24b-a2b

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

qwen3.5:4b

Reasoning
18/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong

lfm2-24b-a2b

Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest